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Aerospace 2018, 5(1), 4; https://doi.org/10.3390/aerospace5010004

An Efficient Processing Architecture for Range Profiling Using Noise Radar Technology

1
Department of Electronic Engineering, University of Rome “Tor Vergata”, via del Politecnico 1, 00133 Rome, Italy
2
System Analysis Group, Elettronica SpA, via Tiburtina Valeria km 13,700, 00133 Rome, Italy
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 4 November 2017 / Revised: 24 December 2017 / Accepted: 3 January 2018 / Published: 6 January 2018
(This article belongs to the Special Issue Radar and Aerospace)
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Abstract

The importance of high resolution range profiles (HRRPs) for radar applications like tracking or classification is well known. In the scientific literature several approaches have been investigated to obtain HRRPs from wideband radar signals. Recent works show that noise radar waveforms can be exploited in this sense due to their high resolution and low peak to sidelobe ratio (PSLR) properties. However their use can cause some issues in applications where long time integrations are required, e.g., in the presence of a low effective radiated power (ERP) transmitter: recording the reference signal in this case would be difficult due to the big quantity of data. This work proposes a real time digital processing schematic based on linear feedback shift registers (LFSRs) which is very flexible and has a low computational burden: its internal state can be easily controlled and reproduced in reception, where a multichannel correlator is exploited as matched filter. The resulting signal, compared to typical “pulse compression” and noise radar waveforms, shows similar performances but a lower order of complexity in terms of real time generation and reception. View Full-Text
Keywords: high resolution range profiles; noise radar technology; linear feedback shift register; maximal length sequences; multichannel correlator; long integration time; pulse compression high resolution range profiles; noise radar technology; linear feedback shift register; maximal length sequences; multichannel correlator; long integration time; pulse compression
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Massaro, D.; Ardoino, R.; Grazzini, M. An Efficient Processing Architecture for Range Profiling Using Noise Radar Technology. Aerospace 2018, 5, 4.

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